class_docstr: This dataset contains the PG-19 language modeling benchmark.
code: def _info(self):
      return self.dataset_info_from_configs(
          features=tfds.features.FeaturesDict(
              {
                  "book_text": tfds.features.Text(),
                  "book_id": np.int32,
                  "book_title": np.str_,
                  "publication_date": np.str_,
                  "book_link": np.str_,
              }
          ),
          supervised_keys=None,
          homepage="https://github.com/deepmind/pg19",
      )
  
file_path: datasets/tensorflow_datasets/datasets/pg19/pg19_dataset_builder.py
imports: from __future__ import annotations
  import os
  import numpy
  from tensorflow_datasets.core.utils.lazy_imports_utils import tensorflow
  import tensorflow_datasets.public_api
label_desc: Use image node_id 1 for calling the Builder obj's underlying member method code with example usage: obj._info() and returns: self